The digitization of electrocardiogram paper records is an essential step to preserve and
analyze cardiac data. This digitization process is not flawless as it involves several …

Introduction: The electrocardiogram (ECG) plays an important role in the diagnosis of heart
diseases. However, most patterns of diseases are based on old datasets and stepwise …

The electrocardiogram (ECG) signal describes the heart's electrical activity, allowing it to
detect several health conditions, including cardiac system abnormalities and dysfunctions …

Background—Dominant frequencies (DFs) of activation are higher in the atria of patients
with persistent than paroxysmal atrial fibrillation (AF), and left atrial (LA)-to-right atrial (RA) …

The paper presents a ECGs classification system that uses powerful algorithms image
processing and artificial intelligence. The descriptor haar-like is based on the concept of the …

Objective: We present a Matlab-based tool to convert electrocardiography (ECG) information
from paper charts into digital ECG signals. The tool can be used for long-term retrospective …

Archiving the paper Electrocardiogram (ECG) trace as an image in hospitals and clinics is a
regular practice to maintain the patients' history. However, it requires immense storage …

Background and objective Cardiotocography (CTG), consisting in the simultaneous
recording of fetal heart rate (FHR) and maternal uterine contractions (UC), is a popular …

Most of the ECG test recordings obtained from patients in clinic is in paper records. It is
difficult for efficient and automatic diagnosis of cardiac diseases based on paper ECG …

In this paper, we propose an end-to-end approach to addressing QRS complex detection
and measurement of Electrocardiograph (ECG) paper using convolutional neural networks …